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A Machine Learning Approach To Predicting Risk Of Anthracycline Cardiotoxicity In Pediatric Cancer Survivors

Marie Chaix,Neha Parmar,Myriam Lafreniere-Roula,Oyediran Akinrinade,Roderick Yao,Anastasia Miron,Emily Lam,Guoliang Meng,Anne Christie,Ashok Kumar Manickaraj,Stacey Marjerrison,Rejane Dillenburg,Mylene Bassal,Jane Lougheed,Shayna Zelcer,Herschel Rosenberg,David Hodgson,Leonard Sender,Peter Liu,Paul F. Kantor,Cedric Manlhiot,James Ellis,Luc Mertens,Paul C. Nathan,Seema Mital

Circulation（2020）

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Abstract
Background: Despite known clinical and genetic risk factors, predicting anthracycline cardiotoxicity remains challenging. Objective: To develop a risk prediction model for anthracycline cardiotoxic...
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Key words
anthracycline cardiotoxicity,cancer,risk,machine learning approach
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